Title :
A strategy for adjusting combination weights over adaptive networks
Author :
Chung-Kai Yu ; Sayed, Ali H.
Author_Institution :
Electr. Eng. Dept., Univ. of California, Los Angeles, Los Angeles, CA, USA
Abstract :
This work proposes a strategy to adjust the combination weights of an adaptive network in order to attain both faster convergence during the transient phase and lower mean-square-error during the steady-state phase. Optimal combination weights are designed for both phases, and a procedure for detecting the transition from one phase to the other is also described. Simulation results illustrate the operation of the proposed strategy.
Keywords :
convergence; network theory (graphs); adaptive networks; combination weights; optimal combination weights; steady-state phase; transient phase; transition detection; Adaptive systems; Convergence; Noise; Steady-state; Switches; Transient analysis; Vectors; Adaptive Networks; Phase Detection;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
DOI :
10.1109/ICASSP.2013.6638527
